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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 1
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    Explanations

    mentions of financial funding through grants

    oai_token-act-pair · gpt-3.5-turbo

    references to grants and funding

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Ange
    -0.69
     Atmosp
    -0.67
    acters
    -0.66
     Bie
    -0.61
     Camb
    -0.61
     Sins
    -0.61
     Ple
    -0.61
     Plain
    -0.61
     Sprite
    -0.61
     Alive
    -0.59
    POSITIVE LOGITS
    ees
    0.98
     grant
    0.93
     awarded
    0.87
     recipients
    0.87
     recipient
    0.85
    ee
    0.83
    funded
    0.83
     funding
    0.81
     renewal
    0.81
     grants
    0.80
    Activations Density 0.028%

    No Known Activations